Email: kristjan "dot" h "dot" greenewald "at" ibm "dot" com
Address:
Keywords: Large language models, uncertainty quantification, language model alignment/RL, optimal transport, causal inference, information theory, statistical learning theory, signal processing, contextual bandits, time-varying models, high dimensional data, estimation theory.
At IBM Research, he leads a team focused on fundamental AI/LLM research collaborating with MIT as part of the MIT-IBM Watson AI Lab. He has served as principal investigator for many multi-year research grants with MIT, and has produced numerous publications in top AI conferences and journals. Recent areas include robust RLHF and evaluation of LLM alignment with theoretical guarantees, uncertainty quantification for LLMs, differential privacy for synthetic data generation, and agentic workflows for democratizing causal inference tools.